2026-10-12T23:23:25Z https://www.scidb.cn/oai

10.57760/sciencedb.36155 2026-08-26T13:40:28Z

2026-08-26 EHR-EC, A De-identified Dataset of Endometrial Cancer from Electronic Health Records and Medical Images doi:10.57760/sciencedb.36155 en Endometrial cancer is a common cause of cancer death in women, and early diagnosis can significantly improve patient survival. Electronic health records are increasingly recognized as a valuable resource for improving computer-aided diagnosis, but the scarcity of large publicly available datasets hinders the adoption of such approaches. This paper presents EHR-EC, a multi-modal dataset of endometrial cancer derived from admissions between 2013 and 2025 in two hospitals in China, comprising 65,474 electronic health records and 49,851 medical images. Information available includes patient measurements, diagnoses, procedures, treatments, cancer staging, pathology images, radiology images, and de-identified free-text clinical notes. All direct identifiers (e.g., patient names, national identification numbers, phone numbers, and detailed addresses) have been removed. Temporal information has also been de-identified, and internal hospital identifiers have been re-masked to further limit residual re-identification risks. The dataset is released under controlled access to safeguard against potential indirect re-identification. This dataset is intended to support a wide range of medical research, including medical image analysis and clinical decision support.The study was approved by the ethics committee of The First Affiliated Hospital of Xiamen University (Approval Numbers: 2026-087 and 2026-088, Scientific Research Ethics Review). Benchmark Dataset; Electronic Health Records; Endometrial Cancer; Multi-modal Shiying Deng Qiyuan Luo Shiyu Dong Xiaoli Wang Zhiwen Liu Yanting Lin Min Zhao Yingbin Zheng Jie Zhao RESTRICTED dataset Science Data Bank